Learn about Citus on Microsoft Azure in our latest post about use cases: When to use Hyperscale (Citus) to scale out Postgres.
Over the last two years, our engineering team at Citus Data has shortened release cycles from 12 months all the way down to 8 weeks. The most recent 7.2 release of the Citus database took 8 weeks exactly, start to finish.
These shortened release cycles have been chock full of new capabilities for our users, including distributed deadlock detection in Citus 7.0, multi-shard updates and deletes in Citus 7.1, and support for CTE’s (common table expressions) and complex Postgres subqueries in Citus 7.2.
On the Citus Cloud side (that’s our fully-managed database as a service that runs on AWS), we’ve recently added fork, followers, fully-online “warp” migration from existing PostgreSQL installations, and point-in-time-recovery (PITR), just to name a few.
When I step back to think about how we got here (as a co-founder of Citus Data, I’ve been here since the beginning), it’s no surprise that I attribute much of what we’ve accomplished to our team. But here’s the point about all these accomplishments that I think is so interesting: our engineering team is distributed across 5 countries and 6 different cities.Keep reading